Implementation of fuzzy logic to measure supply chain agility

(1) * Mehdi Karimimalayer Mail (Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia)
(2) Nizaroyani Saibani Mail (Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia)
*corresponding author

Abstract


In our age of perennial changing environment, supply chain agility is a crucial factor having a great impact on the company's competitiveness. For transforming supply chain into an agile supply chain, first it is necessary to comprehend the meaning of agile supply chain, since agility has wide range of meanings and various dimensions which covers different aspects of an organization. Generally, however, there have been many researches on agility, proportionally; the concept of agility in supply chain has not been much surveyed. The circumstance unveils the necessity of a technique to measure the supply chain agility. The purpose of the article is to propose a technique, using fuzzy logic which supply chain agility be measured.

Keywords


Agility; Fuzzy Logic; Supply Chain

   

DOI

https://doi.org/10.26555/ijain.v2i1.32
      

Article metrics

Abstract views : 750 | PDF views : 180

   

Cite

   

Full Text

Download

References


Yusuf Y Y, Gunasekaran A, Adeleye E O, Sivayoganathan K.(2004); “Agile Supply Chain Capabilities: Determinants of Competitive Objectives”, European Journal of Operational Research, 159, PP. 379–392.

Lambert DM, Cooper M C. (2000); “Issues in Supply Chain Management”, Industrial Marketing Management, pp. 65–83.

Zhang Z, Sharifi H. (2000); “A Methodology for Achieving Agility in Manufacturing Organizations”, International Journal of Operations & Production Management, Vol. 20 No. 4, pp. 496-512.

Van Hoek R I, Harrison A, Christopher M (2001);” Measuring Agile Capabilities in the Supply Chain”, International Journal of Operations & Production Management, Vol. 21 No. 1/2, pp. 126-147.

Tsourveloudis N C, Valavanis K P. (2002); “On the Measurement of Enterprise Agility”, Journal of Intelligent and Robotic Systems, 33: 329– 342, 2002.

Lou P, Zhou Z, Chen Y.P, Ai W.(2004); “Study on Multi-Agent-Based Agile Supply Chain Management”, International Journal of Advanced Manufacturing Technology, pp. 23: 197–203.

Swafford P.M, Ghosh .S, Murthy .N (2006); “The Antecedents of Supply Chain Agility of a Firm: Scale Development and Model Testing”, Journal of Operations Management, 24, pp.170–188.

Christopher M. (2000); “The Agile Supply Chain Competing in Volatile Markets”, Industrial Marketing Management, 29, pp. 37–44.

Lin CT., Chiu H., Chu P Y. (2006a); “Agility Index in the Supply Chain”, International Journal of Production Economics, 100, pp. 285–299.

Baker, P. (2008); “The Design and Operation of Distribution Centres Within Agile Supply Chains”, International Journal of Production Economics, 111(1), pp. 27-41.

Weber M M. (2002); “Measuring Supply Chain Agility in the Virtual Organization”, International Journal of Physical Distribution & Logistics Management, Vol.32 No.7, PP.577-590.

Ismail H.S, Sharifi H (2006); ”A balanced approach to building agile supply chains”, International Journal of Physical Distribution & Logistics Management, Vol. 36 No. 6, pp. 431-444.

Gunasekaran A.,Lai K.H., Edwin Cheng T.C.,(2008); “Responsive Supply Chain: A Competitive Strategy in a Networked Economy”, Omega 36, pp: 549 – 564.

Spekman R.E., Spear J., Kamauff J.(2002); “Supply Chain Competency: Learning as a Key Component”, Supply Chain Management: An International Journal, Vol 7 No 1, pp:41-55.

Duclos L.K., Vokurka R.J., Lummus R.R., (2003); “A Conceptual Model of Supply Chain Flexibility”, Industrial Management & Data System, Vol 103 No 6, pp. 446-456.

Sharp, J.M., Irani, Z., Desai, S., (1999); Working Towards Agile Manufacturing in the UK Industry, International Journal of Production Economics, 62, pp. 155–169.

Lin CT., Chiu H., Tseng Y.H., (2006b); “Agility Evaluation Using Fuzzy Logic”, International Journal of Production Economics, 101, pp. 353- 368.

Jain V, Benyoucef L, Deshmukh S.G.(2007); “A New Approach for Evaluating Agility in Supply Chains Using Fuzzy Association RulesMining”, International Journal of Engineering Applications of Artificial Intelligence, In Press - Available online, 2007.

Faisal MN., Banwet DK., Shankar R.(2007); “Quantification of Risk Mitigation Environment of Supply Chains Using Graph Theory and Matrix Methods”, European J. Industrial Engineering, Vol. 1, No. 1, pp. 29-39.

Sharifi, H., Zhang, Z., (2000); “A Methodology for Achieving Agility in Manufacturing Organization: An Introduction”; International Journal of Production Economics, 62, 7–22.

Yang, S.L., Li, T.F., (2002); Agility Evaluation of Mass Customization Product Manufacturing, Journal of Materials Processing Technology, 129, pp. 640–644.

Liu H., Kong F., (2005); “A New Madm Algorithm Based On Fuzzy Subjective and Objective Integrated Weights”, International Journal of Information and Systems Sciences Computing and Information, Volume 1, Number 3-4, pp: 420–427

Chen, C.T., Peng, S.T., (1999); “Intelligent Process Control Using Neural Fuzzy Techniques”, Journal of Process Control, 9, pp. 493–503.

Karimimalayer M, Faieza A.A, Bagherpour E, Movahedizadeh H , SamimiSedeh N, (2014). A Comparison of Quality Management and Industrial Criteria between Iran and Developed Countries (Case Study: Japan). Research Journal of Applied Sciences, Engineering and Technology, 7(20): 4359-4363.




Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

___________________________________________________________
International Journal of Advances in Intelligent Informatics
ISSN 2442-6571  (print) | 2548-3161 (online)
Organized by Informatics Department - Universitas Ahmad Dahlan , and UTM Big Data Centre - Universiti Teknologi Malaysia
Published by Universitas Ahmad Dahlan
W : http://ijain.org
E : info@ijain.org, andri.pranolo@tif.uad.ac.id (paper handling issues)
     ijain@uad.ac.id, andri.pranolo.id@ieee.org (publication issues)

View IJAIN Stats

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0